Neural Preprocessing and Control of Reactive Walking Machines: Towards Versatile Artificial Perception-Action Systems Softcover reprint of hardcover 1st ed. 2007 Edition

Neural Preprocessing and Control of Reactive Walking Machines: Towards Versatile Artificial Perception-Action Systems Softcover reprint of hardcover 1st ed. 2007 Edition book cover

Neural Preprocessing and Control of Reactive Walking Machines: Towards Versatile Artificial Perception-Action Systems Softcover reprint of hardcover 1st ed. 2007 Edition

Author(s): Poramate Manoonpong (Author)

  • Publisher: Springer
  • Publication Date: 30 Nov. 2010
  • Edition: Softcover reprint of hardcover 1st ed. 2007
  • Language: English
  • Print length: 203 pages
  • ISBN-10: 364208835X
  • ISBN-13: 9783642088353

Book Description

This book presents biologically inspired walking machines interacting with their physical environment, and shows how the morphology and behavior control of machines can benefit from biological studies. The purpose is to develop a modular structure of neural control generating reactive behaviors of the physical walking machines, to analyze the neural mechanisms underlying them, and to demonstrate the sensor fusion technique leading to smooth switching between appropriate behaviors, like obstacle avoidance and sound tropism.

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From the Back Cover

This book presents biologically inspired walking machines interacting with their physical environment. It describes how the designs of the morphology and the behavior control of walking machines can benefit from biological studies. The purpose of this book is to develop a modular structure of neural control generating different reactive behaviors of the physical walking machines, to analyze the neural mechanisms underlying the reactive behaviors, and to demonstrate the sensor fusion technique leading to smooth switching between appropriate behaviors, like obstacle avoidance and sound tropism.

The author offers an example of artificial perception-action systems and emphasizes the close relationship between biological studies, computational neuroscience and engineering. The book will be of interest to researchers, engineers and students in the fields of robotics, biologically inspired mechatronics, electronics engineering, control, and artificial intelligence.

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